Infrared image enhancement using H∞ bounds for surveillance applications

IEEE Transactions on Image Processing

Volumn 17, Issue 8, 2008, Pages 1274-1282

  Qidwai, Uvais ^a  

^a Qatar University ^*  (Qatar)

Author keywords

H identification; Image enhancement; Image modeling; Infrared (IR) image processing

Indexed keywords

APPLICATIONS; DIGITAL IMAGE STORAGE; GEOMETRICAL OPTICS; IDENTIFICATION (CONTROL SYSTEMS); IMAGE PROCESSING; IMAGING SYSTEMS; INFRARED IMAGING; OPTICAL DATA PROCESSING; PIXELS;

AUTOREGRESSIVE MOVING AVERAGE MODELS; IMAGE MODELING; IMAGE PIXELS; INFRARED (IR) IMAGE PROCESSING; INFRARED IMAGE ENHANCEMENTS; IR IMAGES; OPTICAL IMAGE SPACES; OPTIMAL BOUNDS; REAL-TIME APPLICATIONS; SURVEILLANCE APPLICATIONS; SYSTEM IDENTIFICATION ALGORITHMS; VISUAL QUALITIES;

IMAGE ENHANCEMENT;

DIAGNOSTIC AGENT;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; IMAGE ENHANCEMENT; INFRARED RADIATION; METHODOLOGY; ORGANIZATION AND MANAGEMENT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THERMOGRAPHY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFRARED RAYS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SECURITY MEASURES; SENSITIVITY AND SPECIFICITY; THERMOGRAPHY;

EID: 48349086936     PISSN: 10577149     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIP.2008.925377     Document Type: Article

References (11)

1. D. Sadot et al., "Restoration of thermal images distorted by the atmosphere, based on measured and theoretical atmospheric modulation transfer function," Opt. Eng., vol. 33, no. 1, pp. 44-53, 1994.
2. I. Dror and N. S. Kopia, "Aerosol and turbulence MTFs: Comparison measurement in the open atmosphere," Opt. Lett., vol. 17, pp. 1532-1534, 1992.
3. L. Ljung, System Identification - Theory for the User, 2nd ed. Upper Saddle River, NJ: Prentice-Hall, 1999.
4. T. Söderström and P. Stoica, System Identification. London, U.K.: Prentice-Hall International, 1989.
5. G. Zames, "Feedback and Optimal Sensitivity: Model reference transformation, multiplicative seminorms, and approximate inverse," IEEE Trans. Autom. Control, vol. AC-26, pp. 301-320, 1981.
6. ∞ state space filtering techniques," in Proc. 31st Conf. Decision and Control, 1992, pp. 2287-2292.
7. U. Qidwai and C. H. Chen, "Blind image-deconvolution for ultrasonic CScans," Proc. RQNDE, vol. 20A, pp. 579-586, Jul. 2000.
8. R. L. Kashyap, "Characterization and estimation of two-dimensional ARMA models," IEEE Trans. Inf. Theory, vol. IT-30, no. 5, pp. 736-745, May 1984.
9. W. B. Mikhael and H. Yu, "A linear approach for two-dimensional, frequency domain, least square, signal and system modeling," IEEE Trans. Circuits Syst. II, Exp. Briefs, vol. 41, no. 12, pp. 786-795, Dec. 1994.
10. B. Hasibi, A. H. Sayed, and T. Kailath, "LMS is H∞ optimal," in Proc. 32nd Conf. Decision and Control, Dec. 1993, pp. 74-79.
11. ∞ norm approximation scheme and its applications to controller reduction," IEE Proc.: Control Theory Appl., vol. 144, no. 1, pp. 61-66, 1997.